Magnetic Resonance Imaging (MRI) for the Delineation of Organs At Risk (OAR) and Target Volumes in Lung Cancer Patients
NCT ID: NCT03048760
Last Updated: 2019-07-08
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
30 participants
INTERVENTIONAL
2017-09-11
2019-01-21
Brief Summary
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MRI scans provide greater soft tissue contrast than CT scans which can aid in the accurate delineation of organs at risk (OAR) and tumour target volumes for MRL and routine treatment. In addition, MRI can provide real time imaging which can aid in the accurate motion characterisation of these volumes. The addition of functional diffusion weighted imaging (DWI) has also proven to be useful in the discrimination of malignant from benign lesions; for lymph node detection and for the differentiation of tumour from atelectasis.
Auto-contouring has the potential to speed workflows at various points in the clinical pathway. This may be inter-patient contour propagation used pre-treatment for plan creation, or may be during online or offline adaptive workflows propagating contours through imaging acquired as treatment progresses. In collaboration with industry the investigators will be testing such algorithms on these images retrospectively.
In addition, the investigators would also like to evaluate patients' experiences of CT and MRI scans and determine which scanning method is preferred. Other studies have explored patient experiences of MRI compared to CT but not in the lung cancer patient population.
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Detailed Description
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The MRI protocol includes up to 60 minutes of scanning which will include anatomical, respiratory dynamic and functional diffusion weighted imaging (DWI). The patient will be set up according to the treatment position on the MR scanner, using flat couch. The MR scans will not be used for clinical decision making.
Clinicians will then contour organs at risk (OARs) and target volumes on both the CT (guided by PET if available) and MRI scans and contours will be compared to determine the usefulness of MRI for radiotherapy treatment planning.
The contoured data sets will be fully anonymised, and used in house and shared with Elekta to assist with the development of automatic contouring / tumour tracking software, comparing CT to cone beam CT (CBCT) tracking (standard of care) with MR to MR tracking (experimental).
To assess experiences of MRI and CT, participants will be asked to complete baseline self-report questionnaires and additional questionnaires after MRI and CT scans. A small sample of participants will also be invited to participate in a semi-structured interview to explore their experiences in greater depth.
Conditions
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Study Design
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NA
SINGLE_GROUP
BASIC_SCIENCE
NONE
Study Groups
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MRI scan
All participants will undergo 2 MRI scans - 1 at the time of their radiotherapy planning scan \& 1 after approx. 2 weeks of radiotherapy treatment.
MRI scan
All participants will undergo 2 MRI scans - 1 at the time of their radiotherapy planning scans \& 1 after approx. 2 weeks of radiotherapy treatment.
Interventions
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MRI scan
All participants will undergo 2 MRI scans - 1 at the time of their radiotherapy planning scans \& 1 after approx. 2 weeks of radiotherapy treatment.
Eligibility Criteria
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Inclusion Criteria
* Tumour Characteristics:
* Size ≥ 3 cm in diameter
* Positions: range of tumour positions with at least 10 of the participants having lower lobe tumours
* Patients planned for radical radiotherapy
* Eastern Co-operative Oncology Group (ECOG) Performance Status (PS) 0-2
Exclusion Criteria
* Unable to lie supine for 60 minutes
* Pregnancy
18 Years
ALL
No
Sponsors
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University of Manchester
OTHER
Elekta Limited
INDUSTRY
The Christie NHS Foundation Trust
OTHER
Responsible Party
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Sally Falk
Professor Corinne Favire-Finn
Principal Investigators
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Corinne Faivre-Finn, PhD
Role: PRINCIPAL_INVESTIGATOR
University of Manchester & The Christie NHS Foundation Trust
Locations
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The Christie NHS Foundation Trust
Manchester, , United Kingdom
Countries
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Other Identifiers
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17_RADIO_121
Identifier Type: -
Identifier Source: org_study_id
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